Proteome Analysis of Isolated Podocytes Reveals Stress Responses in Glomerular Sclerosis

Total Page:16

File Type:pdf, Size:1020Kb

Proteome Analysis of Isolated Podocytes Reveals Stress Responses in Glomerular Sclerosis BASIC RESEARCH www.jasn.org Proteome Analysis of Isolated Podocytes Reveals Stress Responses in Glomerular Sclerosis Sybille Koehler,1,2 Alexander Kuczkowski,1 Lucas Kuehne,1 Christian Jüngst ,3 Martin Hoehne ,1,3 Florian Grahammer,4 Sean Eddy ,5 Matthias Kretzler ,5,6 Bodo B. Beck,7 Jörg Höhfeld,8 Bernhard Schermer,1,3 Thomas Benzing,1,3 Paul T. Brinkkoetter,1 and Markus M. Rinschen1,3,9 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Understanding podocyte-specific responses to injury at a systems level is difficult because injury leads to podocyte loss or an increase of extracellular matrix, altering glomerular cellular composi- tion. Finding a window into early podocyte injury might help identify molecular pathways involved in the podocyte stress response. Methods We developed an approach to apply proteome analysis to very small samples of purified podo- cyte fractions. To examine podocytes in early disease states in FSGS mouse models, we used podocyte fractions isolated from individual mice after chemical induction of glomerular disease (with Doxorubicin or LPS). We also applied single-glomerular proteome analysis to tissue from patients with FSGS. Results Transcriptome and proteome analysis of glomeruli from patients with FSGS revealed an under- representation of podocyte-specific genes and proteins in late-stage disease. Proteome analysis of puri- fied podocyte fractions from FSGS mouse models showed an early stress response that includes perturbations of metabolic, mechanical, and proteostasis proteins. Additional analysis revealed a high correlation between the amount of proteinuria and expression levels of the mechanosensor protein Filamin-B. Increased expression of Filamin-B in podocytes in biopsy samples from patients with FSGS, in single glomeruli from proteinuric rats, and in podocytes undergoing mechanical stress suggests that this protein has a role in detrimental stress responses. In Drosophila, nephrocytes with reduced filamin homo- log Cher displayed altered filtration capacity, but exhibited no change in slit diaphragm structure. Conclusions We identified conserved mechanisms of the podocyte stress response through ultrasensitive proteome analysis of human glomerular FSGS tissue and purified native mouse podocytes during early dis- ease stages. This approach enables systematic comparisons of large-scale proteomics data and phenotype- to-protein correlation. JASN 31: ccc–ccc, 2020. doi: https://doi.org/10.1681/ASN.2019030312 Received March 28, 2019. Accepted December 4, 2019. Podocytes are specialized epithelial cells at the kid- P.T.B. and M.M.R. shared senior authorship. ney filtration barrier that enwrap the glomerular capillaries.1 Upon injury, podocytes dedifferenti- Published online ahead of print. Publication date available at www.jasn.org. ate, lose their unique three-dimensional morphol- ogy, and detach into the urine. This response to Correspondence: Dr. Paul Brinkkoetter, Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of injury of any kind is morphologically followed Cologne, Faculty of Medicine and University Hospital Cologne, and accompanied by glomerular scarring and Kerpener Str.62, Köln, Germany 50931, or Dr. Markus Rinschen, Center for Metabolomics and Mass Spectrometry, The Scripps Re- FSGS. Various molecular, chemical, and genetic search Institute, 10550 N Torrey Pines Rd, La Jolla, CA 92037. Email: stressors can induce such a response. Diverse animal [email protected] or [email protected] models are used to study the disease. Commonly Copyright © 2020 by the American Society of Nephrology JASN 31: ccc–ccc,2020 ISSN : 1046-6673/3103-ccc 1 BASIC RESEARCH www.jasn.org used models for identifying cellular pathways during podo- Significance Statement cyte injury include genetic models, and chemically induced podocyte damage such as the Doxorubicin nephrosis and LPS Analyses of entire glomeruli using a proteomic, transcriptomic, or models. Although these models are widely used, it is currently other “omic” approach may obscure the molecular footprints of not clear which parts of human podocyte disease are reflected early and decisive processes in podocytes responding to injury. To pinpoint mechanisms underlying glomerulosclerosis, the authors in the animal models. Even with an increased understanding performed ultrasensitive proteomics of purified podocyte fractions of the genomic landscape of FSGS,2,3 the immediate molec- at early injury stages in mouse models of glomerular disease in- ular response of podocytes in response to injury is still in- duced by doxorubicin or LPS. These analyses revealed an early completely understood at a systems level. stress response that involves upregulation of metabolic, proteo- fi Although proteomics technology is increasingly used to static, and mechanoresponsive mechanisms. They also identi ed conserved upregulated proteins involved in the podocyte stress 4–7 study glomerular disease, the three-cell architecture of the response, including the mechanosensor Filamin-B, and found a high glomerulus limits data interpretation of glomerular omics correlation between proteinuria and Filamin-B levels. The work data: podocyte injury leads to podocyte loss, and thereby alters demonstrates that proteome integration at the single glomerulus the cellular composition of the glomerulus.8 In addition, the and the individual organism levels can link “omics” datasets to technical nature of proteomics requires analysis of pooled ma- physiological function at high resolution. terial from several animals with variable phenotypes, limiting feasibility of these studies. To improve this, we adapted an ultra- HBSS) and 500 ml Dynabeads in digestion buffer (containing sensitive proteome analysis9,10 of pure podocyte fractions from collagenase 300 U/ml [Collagenase Type II; Worthington], individual mice comprising as few as 10,000 cells to identify 1 mg/ml pronase E [P6911; Sigma, Germany], and DNase I proteins that are regulated in the podocytes’ damage response. 50 U/ml [A3778; Applichem, Germany]). Kidneys were The use of mouse models allows studying of early disease minced into 1-mm3 pieces and incubated in digestion buffer stages, when transcriptomic and proteomic changes are al- at 37°C for 15 minutes. The suspension was mildly pressed ready measurable, but podocyte cell number is not yet dimin- through a 100-mm straining sieve for 15 minutes with enough ished. The technique described herein can therefore be used to HBSS buffer (approximately 20 ml). The suspension was then compare different disease stages in mouse models in order to pelleted by mild centrifugation (3000 rpm, 5 minutes), and the identify genes and proteins involved in the early and late dis- solution was resuspended. For primary podocyte isolation, ease responses of podocytes. glomeruli were resuspended in digestion buffer. For RNA iso- lation, glomeruli were transferred into Trizol until further processing. For proteomic analysis, glomeruli were digested METHODS until a single-cell suspension was obtained which was further used for FACs sorting. For this purpose, glomeruli were in- Transgenic Mouse Models cubated at 37°C for 40 minutes, and the suspension was mixed The Doxorubicin study was performed with R26mTmG mice, by pipetting up and down every 10 minutes. Magnetic parti- which were mated with hNphs2.PodCre mice to achieve GFP cles were discarded. Purity of cells was checked by fluorescence expression exclusively in podocytes.11,12 For the LPS study analysis. Cell suspension (2 ml) was sieved through a 40-mm Podocin.2A.iCre.2A.mTomato mice were used, which express mesh and washed with 10 ml HBSS. Cells were collected by tomato only in podocytes.13 In the Doxorubicin study we used centrifugation at 1500 rpm for 5 minutes at 4°C, resuspended only male mice, whereas in the LPS study we included mice in 0.5 ml HBSS, and supplemented with 0.1% BSA plus DAPI 1 from both sexes. Animals used in the Doxorubicin study were (1 mg/ml). To separate GFP-expressing (GFP )andGFP- 2 on a pure CD-1 background, whereas mice used in the LPS negative (GFP ) cells, glomerular cells were sorted by FACS study were backcrossed for nine generations from C57BL/6 to for the respective dyes. The minimum number of sorted po- CD-1 (95% CD-1). The mouse holding was done in the Uni- docytes was approximately 12,500 podocytes/animal. versity of Cologne animal facility according to standardized specific pathogen–free conditions. The experimental protocol RNA Isolation and Quantitative PCR was examined and approved by the LANUV NRW (Landesamt Glomeruli used for quantitative PCR were isolated from für Natur, Umwelt und Verbraucherschutz Nordrhein- 12-week-old pure Balb/C mice either treated with Doxorubi- Westfalen, State Agency for Nature, Environment and Consumer cin (12 mg/kg body wt) or without treatment. RNA was iso- Protection North Rhine-Westphalia, AZ 84–02.04.2013.A375). lated using the Direct-Zoll RNA MiniPrep Kit according to manufacturer’s instructions (Zymo, Irvine). A primer pair Isolation of Primary Podocytes specific for murine Filamin-B was used to assess Filamin-B Isolation of primary podocytes was performed after euthaniz- mRNA levels in glomeruli: sense primer: 59-CAAAGCTGG ing mice and glomerular preparation was as previously de- GTCCAACATGC-39, anti-sense primer: 59-CGAGTCAAG scribed.14 A detailed protocol was described before. Mice TCTAGGGCACC-39. For normalization, a primer pair spe- were killed by cervical
Recommended publications
  • Entrez Symbols Name Termid Termdesc 117553 Uba3,Ube1c
    Entrez Symbols Name TermID TermDesc 117553 Uba3,Ube1c ubiquitin-like modifier activating enzyme 3 GO:0016881 acid-amino acid ligase activity 299002 G2e3,RGD1310263 G2/M-phase specific E3 ubiquitin ligase GO:0016881 acid-amino acid ligase activity 303614 RGD1310067,Smurf2 SMAD specific E3 ubiquitin protein ligase 2 GO:0016881 acid-amino acid ligase activity 308669 Herc2 hect domain and RLD 2 GO:0016881 acid-amino acid ligase activity 309331 Uhrf2 ubiquitin-like with PHD and ring finger domains 2 GO:0016881 acid-amino acid ligase activity 316395 Hecw2 HECT, C2 and WW domain containing E3 ubiquitin protein ligase 2 GO:0016881 acid-amino acid ligase activity 361866 Hace1 HECT domain and ankyrin repeat containing, E3 ubiquitin protein ligase 1 GO:0016881 acid-amino acid ligase activity 117029 Ccr5,Ckr5,Cmkbr5 chemokine (C-C motif) receptor 5 GO:0003779 actin binding 117538 Waspip,Wip,Wipf1 WAS/WASL interacting protein family, member 1 GO:0003779 actin binding 117557 TM30nm,Tpm3,Tpm5 tropomyosin 3, gamma GO:0003779 actin binding 24779 MGC93554,Slc4a1 solute carrier family 4 (anion exchanger), member 1 GO:0003779 actin binding 24851 Alpha-tm,Tma2,Tmsa,Tpm1 tropomyosin 1, alpha GO:0003779 actin binding 25132 Myo5b,Myr6 myosin Vb GO:0003779 actin binding 25152 Map1a,Mtap1a microtubule-associated protein 1A GO:0003779 actin binding 25230 Add3 adducin 3 (gamma) GO:0003779 actin binding 25386 AQP-2,Aqp2,MGC156502,aquaporin-2aquaporin 2 (collecting duct) GO:0003779 actin binding 25484 MYR5,Myo1e,Myr3 myosin IE GO:0003779 actin binding 25576 14-3-3e1,MGC93547,Ywhah
    [Show full text]
  • Molecular Mechanisms Underlying Noncoding Risk Variations in Psychiatric Genetic Studies
    OPEN Molecular Psychiatry (2017) 22, 497–511 www.nature.com/mp REVIEW Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies X Xiao1,2, H Chang1,2 and M Li1 Recent large-scale genetic approaches such as genome-wide association studies have allowed the identification of common genetic variations that contribute to risk architectures of psychiatric disorders. However, most of these susceptibility variants are located in noncoding genomic regions that usually span multiple genes. As a result, pinpointing the precise variant(s) and biological mechanisms accounting for the risk remains challenging. By reviewing recent progresses in genetics, functional genomics and neurobiology of psychiatric disorders, as well as gene expression analyses of brain tissues, here we propose a roadmap to characterize the roles of noncoding risk loci in the pathogenesis of psychiatric illnesses (that is, identifying the underlying molecular mechanisms explaining the genetic risk conferred by those genomic loci, and recognizing putative functional causative variants). This roadmap involves integration of transcriptomic data, epidemiological and bioinformatic methods, as well as in vitro and in vivo experimental approaches. These tools will promote the translation of genetic discoveries to physiological mechanisms, and ultimately guide the development of preventive, therapeutic and prognostic measures for psychiatric disorders. Molecular Psychiatry (2017) 22, 497–511; doi:10.1038/mp.2016.241; published online 3 January 2017 RECENT GENETIC ANALYSES OF NEUROPSYCHIATRIC neurodevelopment and brain function. For example, GRM3, DISORDERS GRIN2A, SRR and GRIA1 were known to involve in the neuro- Schizophrenia, bipolar disorder, major depressive disorder and transmission mediated by glutamate signaling and synaptic autism are highly prevalent complex neuropsychiatric diseases plasticity.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement
    School of Natural Sciences and Mathematics Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement UT Dallas Author(s): Michael Q. Zhang Rights: CC BY 4.0 (Attribution) ©2017 The Authors Citation: Liu, Zehua, Huazhe Lou, Kaikun Xie, Hao Wang, et al. 2017. "Reconstructing cell cycle pseudo time-series via single-cell transcriptome data." Nature Communications 8, doi:10.1038/s41467-017-00039-z This document is being made freely available by the Eugene McDermott Library of the University of Texas at Dallas with permission of the copyright owner. All rights are reserved under United States copyright law unless specified otherwise. File name: Supplementary Information Description: Supplementary figures, supplementary tables, supplementary notes, supplementary methods and supplementary references. CCNE1 CCNE1 CCNE1 CCNE1 36 40 32 34 32 35 30 32 28 30 30 28 28 26 24 25 Normalized Expression Normalized Expression Normalized Expression Normalized Expression 26 G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage CCNE1 CCNE1 CCNE1 CCNE1 40 32 40 40 35 30 38 30 30 28 36 25 26 20 20 34 Normalized Expression Normalized Expression Normalized Expression 24 Normalized Expression G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Supplementary Figure 1 | High stochasticity of single-cell gene expression means, as demonstrated by relative expression levels of gene Ccne1 using the mESC-SMARTer data. For every panel, 20 sample cells were randomly selected for each of the three stages, followed by plotting the mean expression levels at each stage.
    [Show full text]
  • Binding Specificities of Human RNA Binding Proteins Towards Structured
    bioRxiv preprint doi: https://doi.org/10.1101/317909; this version posted March 1, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Binding specificities of human RNA binding proteins towards structured and linear 2 RNA sequences 3 4 Arttu Jolma1,#, Jilin Zhang1,#, Estefania Mondragón4,#, Teemu Kivioja2, Yimeng Yin1, 5 Fangjie Zhu1, Quaid Morris5,6,7,8, Timothy R. Hughes5,6, Louis James Maher III4 and Jussi 6 Taipale1,2,3,* 7 8 9 AUTHOR AFFILIATIONS 10 11 1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden 12 2Genome-Scale Biology Program, University of Helsinki, Helsinki, Finland 13 3Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom 14 4Department of Biochemistry and Molecular Biology and Mayo Clinic Graduate School of 15 Biomedical Sciences, Mayo Clinic College of Medicine and Science, Rochester, USA 16 5Department of Molecular Genetics, University of Toronto, Toronto, Canada 17 6Donnelly Centre, University of Toronto, Toronto, Canada 18 7Edward S Rogers Sr Department of Electrical and Computer Engineering, University of 19 Toronto, Toronto, Canada 20 8Department of Computer Science, University of Toronto, Toronto, Canada 21 #Authors contributed equally 22 *Correspondence: [email protected] 23 24 25 SUMMARY 26 27 Sequence specific RNA-binding proteins (RBPs) control many important 28 processes affecting gene expression. They regulate RNA metabolism at multiple 29 levels, by affecting splicing of nascent transcripts, RNA folding, base modification, 30 transport, localization, translation and stability. Despite their central role in most 31 aspects of RNA metabolism and function, most RBP binding specificities remain 32 unknown or incompletely defined.
    [Show full text]
  • The Function and Evolution of C2H2 Zinc Finger Proteins and Transposons
    The function and evolution of C2H2 zinc finger proteins and transposons by Laura Francesca Campitelli A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Molecular Genetics University of Toronto © Copyright by Laura Francesca Campitelli 2020 The function and evolution of C2H2 zinc finger proteins and transposons Laura Francesca Campitelli Doctor of Philosophy Department of Molecular Genetics University of Toronto 2020 Abstract Transcription factors (TFs) confer specificity to transcriptional regulation by binding specific DNA sequences and ultimately affecting the ability of RNA polymerase to transcribe a locus. The C2H2 zinc finger proteins (C2H2 ZFPs) are a TF class with the unique ability to diversify their DNA-binding specificities in a short evolutionary time. C2H2 ZFPs comprise the largest class of TFs in Mammalian genomes, including nearly half of all Human TFs (747/1,639). Positive selection on the DNA-binding specificities of C2H2 ZFPs is explained by an evolutionary arms race with endogenous retroelements (EREs; copy-and-paste transposable elements), where the C2H2 ZFPs containing a KRAB repressor domain (KZFPs; 344/747 Human C2H2 ZFPs) are thought to diversify to bind new EREs and repress deleterious transposition events. However, evidence of the gain and loss of KZFP binding sites on the ERE sequence is sparse due to poor resolution of ERE sequence evolution, despite the recent publication of binding preferences for 242/344 Human KZFPs. The goal of my doctoral work has been to characterize the Human C2H2 ZFPs, with specific interest in their evolutionary history, functional diversity, and coevolution with LINE EREs.
    [Show full text]
  • Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
    Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs.
    [Show full text]
  • Binding Specificities of Human RNA Binding Proteins Towards Structured and Linear RNA Sequences
    bioRxiv preprint doi: https://doi.org/10.1101/317909; this version posted May 16, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Binding specificities of human RNA binding proteins towards structured and linear 2 RNA sequences 3 4 Arttu Jolma1,#, Jilin Zhang1,#, Estefania Mondragón4,#, Teemu Kivioja2, Yimeng Yin1, 5 Fangjie Zhu1, Quaid Morris5,6,7,8, Timothy R. Hughes5,6, Louis James Maher III4 and Jussi 6 Taipale1,2,3,* 7 8 9 AUTHOR AFFILIATIONS 10 11 1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden 12 2Genome-Scale Biology Program, University of Helsinki, Helsinki, Finland 13 3Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom 14 4Department of Biochemistry and Molecular Biology and Mayo Clinic Graduate School of 15 Biomedical Sciences, Mayo Clinic College of Medicine and Science, Rochester, USA 16 5Department of Molecular Genetics, University of Toronto, Toronto, Canada 17 6Donnelly Centre, University of Toronto, Toronto, Canada 18 7Edward S Rogers Sr Department of Electrical and Computer Engineering, University of 19 Toronto, Toronto, Canada 20 8Department of Computer Science, University of Toronto, Toronto, Canada 21 22 #Authors contributed equally 23 *Correspondence: [email protected] 24 25 26 ABSTRACT 27 28 Sequence specific RNA-binding proteins (RBPs) control many important 29 processes affecting gene expression. They regulate RNA metabolism at multiple 30 levels, by affecting splicing of nascent transcripts, RNA folding, base modification, 31 transport, localization, translation and stability. Despite their central role in most 32 aspects of RNA metabolism and function, most RBP binding specificities remain 33 unknown or incompletely defined.
    [Show full text]
  • Microrna Dysregulation and Aneuploidy in Arsenic-Induced Carcinogenesis
    MicroRNA Dysregulation and Aneuploidy in Arsenic-induced Carcinogenesis J. Christopher States, Ph.D. Professor, Distinguished University Scholar Vice Chair for Research Dept. Pharmacology & Toxicology Associate Dean for Research Director, Center for Integrative Environmental Health Sciences March 10, 2021 Conflict of Interest • No commercial conflicts of interest • Work supported by U.S. National Institute of Environmental Health Science grants R21ES023627, R01ES027778 & P30ES030283, University of Louisville EVPRI Competitive Enhancement Grant, the Scholarship Fund of China Scholarship Council (No. 201408440133) and Wendell Cherry Chair in Clinical Trial Research 3/10/21 UKY 2 Outline • Background – Environmental arsenic exposure – Chronic arsenic exposure & cancer – miRNA function • Studies on miRNA dysregulation • Impact of hsa-miR-186 overexpression on chromosome stability • Potential mechanism of hsa-miR-186 overexpression • Future Directions & Conclusions 3/10/21 UKY 3 Key Points • Arsenite transformation of keratinocytes induces chromosomal instability • hsa-miR-186 elevated in As-induced SCC • hsa-miR-186 induces chromosome instability that is enhanced by arsenite exposure • hsa-miR-186 may be induced as consequence of arsenite disruption of ZRANB2 function 3/10/21 UKY 4 “King of Poisons” • Long history of use for homicide – Tasteless, odorless – Famous examples: • Napoleon Bonaparte (victim?) • Cesare Borgia (perpetrator?) • Chronic ingestion in drinking water – largest mass poisoning: >30M in Bangladesh 3/10/21 UKY 5 Arsenic Is a Metaloid 3/10/21 UKY 6 http://periodictable.com/ Arsenic Is Widely Distributed & Causes Multiple Diseases • 20th most common element in earth’s crust • >200 million people exposed worldwide to arsenic in drinking water • #1 on ATSDR National Priority List of hazardous ⇒Known human carcinogen substances > 20 years ⇒Known human atherogen • Variable disease outcome ⇒Probable human teratogen 3/10/21 UKY 7 U.S.
    [Show full text]
  • The Neurodegenerative Diseases ALS and SMA Are Linked at The
    Nucleic Acids Research, 2019 1 doi: 10.1093/nar/gky1093 The neurodegenerative diseases ALS and SMA are linked at the molecular level via the ASC-1 complex Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gky1093/5162471 by [email protected] on 06 November 2018 Binkai Chi, Jeremy D. O’Connell, Alexander D. Iocolano, Jordan A. Coady, Yong Yu, Jaya Gangopadhyay, Steven P. Gygi and Robin Reed* Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA Received July 17, 2018; Revised October 16, 2018; Editorial Decision October 18, 2018; Accepted October 19, 2018 ABSTRACT Fused in Sarcoma (FUS) and TAR DNA Binding Protein (TARDBP) (9–13). FUS is one of the three members of Understanding the molecular pathways disrupted in the structurally related FET (FUS, EWSR1 and TAF15) motor neuron diseases is urgently needed. Here, we family of RNA/DNA binding proteins (14). In addition to employed CRISPR knockout (KO) to investigate the the RNA/DNA binding domains, the FET proteins also functions of four ALS-causative RNA/DNA binding contain low-complexity domains, and these domains are proteins (FUS, EWSR1, TAF15 and MATR3) within the thought to be involved in ALS pathogenesis (5,15). In light RNAP II/U1 snRNP machinery. We found that each of of the discovery that mutations in FUS are ALS-causative, these structurally related proteins has distinct roles several groups carried out studies to determine whether the with FUS KO resulting in loss of U1 snRNP and the other two members of the FET family, TATA-Box Bind- SMN complex, EWSR1 KO causing dissociation of ing Protein Associated Factor 15 (TAF15) and EWS RNA the tRNA ligase complex, and TAF15 KO resulting in Binding Protein 1 (EWSR1), have a role in ALS.
    [Show full text]
  • Autocrine IFN Signaling Inducing Profibrotic Fibroblast Responses By
    Downloaded from http://www.jimmunol.org/ by guest on September 23, 2021 Inducing is online at: average * The Journal of Immunology , 11 of which you can access for free at: 2013; 191:2956-2966; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication August 2013; doi: 10.4049/jimmunol.1300376 http://www.jimmunol.org/content/191/6/2956 A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Autocrine IFN Signaling Feng Fang, Kohtaro Ooka, Xiaoyong Sun, Ruchi Shah, Swati Bhattacharyya, Jun Wei and John Varga J Immunol cites 49 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130037 6.DC1 This article http://www.jimmunol.org/content/191/6/2956.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 23, 2021. The Journal of Immunology A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Inducing Autocrine IFN Signaling Feng Fang,* Kohtaro Ooka,* Xiaoyong Sun,† Ruchi Shah,* Swati Bhattacharyya,* Jun Wei,* and John Varga* Activation of TLR3 by exogenous microbial ligands or endogenous injury-associated ligands leads to production of type I IFN.
    [Show full text]
  • STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma
    STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma Jennifer Hardee*,§, Zhengqing Ouyang*,1,2,3, Yuping Zhang*,4 , Anshul Kundaje*,†, Philippe Lacroute*, Michael Snyder*,5 *Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305; §Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520; and †Department of Computer Science, Stanford University School of Engineering, Stanford, CA 94305 1The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030 2Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 3Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT 06030 4Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06520 5Corresponding author: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305. Email: [email protected] DOI: 10.1534/g3.113.007674 Figure S1 STAT3 immunoblotting and immunoprecipitation with sc-482. Western blot and IPs show a band consistent with expected size (88 kDa) of STAT3. (A) Western blot using antibody sc-482 versus nuclear lysates. Lanes contain (from left to right) lysate from K562 cells, GM12878 cells, HeLa S3 cells, and HepG2 cells. (B) IP of STAT3 using sc-482 in HeLa S3 cells. Lane 1: input nuclear lysate; lane 2: unbound material from IP with sc-482; lane 3: material IP’d with sc-482; lane 4: material IP’d using control rabbit IgG. Arrow indicates the band of interest. (C) IP of STAT3 using sc-482 in K562 cells. Lane 1: input nuclear lysate; lane 2: material IP’d using control rabbit IgG; lane 3: material IP’d with sc-482.
    [Show full text]